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Elastic Brings Observability to AI Agents with Amazon Bedrock AgentCore

Developers gain end-to-end monitoring, optimization and troubleshooting for AI Agents deployed with Amazon Bedrock AgentCore

Elastic announced a new integration for Amazon Bedrock AgentCore that brings observability for AI agents and applications directly into the Elasticsearch platform.

The integration allows site reliability engineers (SREs) and developers to monitor, optimize and troubleshoot agents running on Amazon Bedrock AgentCore.

Elastic Observability monitors AI agents and applications by ingesting all logs and metric signals to help you easily see performance, control costs, understand agent reasoning, and keep agent workloads running reliably. This delivers an end-to-end, unified view for deployment with Amazon Bedrock AgentCore and an organization's agents' large language model (LLM) interactions.

“As organizations deploy AI agents to production, the challenge is observing every layer of the agentic AI stack,” said Baha Azarmi, general manager of Elastic Observability. “Elastic’s Agentic AI Observability for Amazon Bedrock AgentCore gives teams curated dashboards to the full LLM execution path, with AI guardrails monitoring for safety and compliance, and predictable AI cost tracking.”

The Elastic Observability AWS Agentcore integration is available now. 

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Elastic Brings Observability to AI Agents with Amazon Bedrock AgentCore

Developers gain end-to-end monitoring, optimization and troubleshooting for AI Agents deployed with Amazon Bedrock AgentCore

Elastic announced a new integration for Amazon Bedrock AgentCore that brings observability for AI agents and applications directly into the Elasticsearch platform.

The integration allows site reliability engineers (SREs) and developers to monitor, optimize and troubleshoot agents running on Amazon Bedrock AgentCore.

Elastic Observability monitors AI agents and applications by ingesting all logs and metric signals to help you easily see performance, control costs, understand agent reasoning, and keep agent workloads running reliably. This delivers an end-to-end, unified view for deployment with Amazon Bedrock AgentCore and an organization's agents' large language model (LLM) interactions.

“As organizations deploy AI agents to production, the challenge is observing every layer of the agentic AI stack,” said Baha Azarmi, general manager of Elastic Observability. “Elastic’s Agentic AI Observability for Amazon Bedrock AgentCore gives teams curated dashboards to the full LLM execution path, with AI guardrails monitoring for safety and compliance, and predictable AI cost tracking.”

The Elastic Observability AWS Agentcore integration is available now. 

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In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers OpenTelemetry ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers APM and infrastructure monitoring ...

AI continues to be the top story across the industry, but a big test is coming up as retailers make the final preparations before the holiday season starts. Will new AI powered features help load up Santa's sleigh this year? Or are early adopters in for unpleasant surprises in the form of unexpected high costs, poor performance, or even service outages? ...

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In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...

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Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...